Evidence map›Paper›PMID 41490971›Full record

ArticleMicrosystems & nanoengineering2026

ASM-chip: an antibody-modified size-screening microfluidic chip for high-efficiency circulating glioma cell isolation and clinical application.

Hengxing Su, Aynur Abdulla, Haoni Yan, Jiasu Xu, Yujie Shi, Xianting Ding, Bangbao Tao

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hengxing Su *Department of Neurosurgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No 1665 Kongjiang Road, Shanghai, 200092, China.
Aynur Abdulla *State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.ORCID http://orcid.org/0000-0002-9482-8460
Haoni YanDepartment of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No 1665 Kongjiang Road, Shanghai, 200092, China.
Jiasu XuSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Yujie ShiDepartment of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No 1665 Kongjiang Road, Shanghai, 200092, China.
Xianting DingDepartment of Neurosurgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No 1665 Kongjiang Road, Shanghai, 200092, China. dingxianting@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-1549-3499
Bangbao TaoDepartment of Neurosurgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, No 1665 Kongjiang Road, Shanghai, 200092, China. taobangbao@xinhuamed.com.cn.ORCID http://orcid.org/0000-0001-7355-9209

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22077079National Natural Science Foundation of China (National Science Foundation of China) 82172606National Natural Science Foundation of China (National Science Foundation of China) 82361148715National Natural Science Foundation of China (National Science Foundation of China) 82402581National Natural Science Foundation of China (National Science Foundation of China) 8247100848National Natural Science Foundation of China (National Science Foundation of China) 82473276Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 23YF1425600Shanghai Jiao Tong University (SJTU) YG2024ZD10
6 · The paper itself

Abstract

Peripheral blood circulating glioma cells (CGCs) are crucial for glioma screening, prognostic evaluation, and diagnostic applications. However, reliable methods for efficient CGCs capture and comprehensive clinical evaluation on whether CGCs could faithfully represent complicated heavy equipment (such as MRI) remain insufficiently explored. Here, we present an antibody modification and size screening-based microfluidic (ASM) chip for effectively capturing CGCs, specifically designed for potential clinical translational applications. The ASM chip consists of one inlet, three outlets, one white blood cell clearance area, and one CGC capture area. The performance of the chip was optimized with two typical cell subtypes, namely SU-DHL-4 (to simulate leukocytes) and U251MG-ZsGreen (to simulate CGCs), and the capture rate reached more than 96% at a flow rate of 1.2 mL/h. In real-life applications, CGCs (1-25/mL) were detected in 21 out of 35 glioma patients. We found that the number of CGCs was relatively high in patients with wild-type IDH1 and was positively correlated with Ki67 expression (p = 0.026). The enrichment of CGC was correlated with neutrophils (p = 0.041) and heparin-binding protein (p = 0.0064), suggesting neutrophil-mediated metastasis. Radiomics linked a higher presence of CGCs with larger tumors, severe necrosis, and extensive edema, suggesting a poor prognosis for patients. The ASM chip can effectively capture and quantify CGCs for guiding the diagnosis and predicting the potential prognosis of clinical glioma patients.

Identifiers

PMID41490971
PMCPMC12769480

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.